Douglas Brundage

x.com/i/article/2083…

Huge thank you to @darustudio(design wizard) and @DABrundage(word wizard)

BREAKING: LVMH CEO @BernardArnault posts on 𝕏 for the first time

So so excited about this one, a new interactive piece for @every by @lauraentis w/ exclusive reporting on the what the infrastructure team at OpenAI has been facing with almost 100% of the company using Codex. I edited, designed, and produced with @DABrundage and @darustudio

Exclusive: AI startup @midjourney has bought astrology app Co-Star and is planning to launch its first image-generation app. These are part of new software initiatives teased during the surprise medical scanner announcement last month. Thanks to @DavidSHolz and @banu__guler for the conversation! bloomberg.com/news/articles/…

some new brand concepts we're playing with @every wdyt

Last week we had the biggest one-day MRR gain in Every's history. It came from launching All Access—a 625-dollar-a-year membership that added about 9,000 dollars in MRR for @every in two days. On this week's AI&I, I handed the mic to our COO Brandon Gell, who sat down with three of @every's own builders—growth engineer Yash Poojary, head of growth Austin Tedesco, and head of marketing Douglas Brundage—to talk about the tools they use most, how they build with them, and their tips for new builders on getting started. They also got into: - How Austin runs two agents at once. While steering Codex on one task, Austin—who calls himself "actually really bad" at video editing—has Claude running in a separate loop with Descript's MCP, building storyboards, writing scripts, and assembling cuts. By the time he sits down to review, it's gotten him 70% of the way to a finished video. - Why Yash treats new AI models like flavors he’s testing. He uses Cursor's cloud agents to run multiple models side by side and figure out which one he prefers, rather than switching to whatever's newest. "I'm so picky about my models that even if a new model drops, I don't change to that," he says, unless testing proves it's better. - Why Brandon thinks the real barrier to building isn't always skill, it's cost. He tells the story of a friend's younger brother, a trained engineer who can't land a job and can't afford to experiment with AI tools that cost other engineers $30K a month. That gap is the whole reason the Builder Pack exists. - Why the team feels safe automating their own jobs. Yash says everyone at Every is secure enough in their skills that automating the repetitive parts of their work doesn't feel threatening, it just clears space for the parts they're good at and enjoy doing. If you want to get started with building, or simply get more ideas on how to work with AI, this episode is for you. Watch on X or YouTube, or listen on Spotify or Apple Podcasts. Timestamps: 0:00 Intro 0:35 All Access Explained 3:01 Yash's Tech Stack and How He's Automating Testing Pipelines 8:02 The Idea to Execution Loop 10:25 How an Agent Turned an Idea into $25K 17:50 The AI Sandwich Workflow 22:03 Making AI Tools Accessible to Solo Builders 28:50 Douglas on Brand and Design 34:51 Tips on What to Build First 43:46 What's Next for All Access

Last week we had the biggest one-day MRR gain in Every's history. It came from launching All Access—a 625-dollar-a-year membership that added about 9,000 dollars in MRR for @every in two days. On this week's AI&I, I handed the mic to our COO Brandon Gell, who sat down with three of @every's own builders—growth engineer Yash Poojary, head of growth Austin Tedesco, and head of marketing Douglas Brundage—to talk about the tools they use most, how they build with them, and their tips for new builders on getting started. They also got into: - How Austin runs two agents at once. While steering Codex on one task, Austin—who calls himself "actually really bad" at video editing—has Claude running in a separate loop with Descript's MCP, building storyboards, writing scripts, and assembling cuts. By the time he sits down to review, it's gotten him 70% of the way to a finished video. - Why Yash treats new AI models like flavors he’s testing. He uses Cursor's cloud agents to run multiple models side by side and figure out which one he prefers, rather than switching to whatever's newest. "I'm so picky about my models that even if a new model drops, I don't change to that," he says, unless testing proves it's better. - Why Brandon thinks the real barrier to building isn't always skill, it's cost. He tells the story of a friend's younger brother, a trained engineer who can't land a job and can't afford to experiment with AI tools that cost other engineers $30K a month. That gap is the whole reason the Builder Pack exists. - Why the team feels safe automating their own jobs. Yash says everyone at Every is secure enough in their skills that automating the repetitive parts of their work doesn't feel threatening, it just clears space for the parts they're good at and enjoy doing. If you want to get started with building, or simply get more ideas on how to work with AI, this episode is for you. Watch on X or YouTube, or listen on Spotify or Apple Podcasts. Timestamps: 0:00 Intro 0:35 All Access Explained 3:01 Yash's Tech Stack and How He's Automating Testing Pipelines 8:02 The Idea to Execution Loop 10:25 How an Agent Turned an Idea into $25K 17:50 The AI Sandwich Workflow 22:03 Making AI Tools Accessible to Solo Builders 28:50 Douglas on Brand and Design 34:51 Tips on What to Build First 43:46 What's Next for All Access